Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Dynamic Characterization, Testing and Monitoring of Bridges and Buildings
share announcement

Dynamic Characterization, Testing and Monitoring of Bridges and Buildings

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 5624

Special Issue Editors

Prof. Dr. Fabrizio Gara

E-Mail Website
Guest Editor
Department of Construction, Civil Engineering and Architecture (DICEA), Polytechnic University of Marche, 60121 Ancona, Italy
Interests: bridge engineering; dynamic characterization; dynamic experimental tests; structural analysis; structural design; earthquake engineering; soil–structure interaction
Dr. Sandro Carbonari

E-Mail Website
Guest Editor
Department of Construction, Civil Engineering and Architecture (DICEA), Polytechnic University of Marche, 60121 Ancona, Italy
Interests: earthquake engineering; structural analysis; structural design; soil–structure interaction; bridge engineering; dynamic characterization; dynamic experimental tests

Special Issue Information

Dear Colleagues,

The characterization and monitoring of the structural modal parameters recently received large attention in civil engineering because of their usefulness in the updating, assessment and validation of numerical models, and the structural health monitoring (SHM) of existing buildings and bridges, obtained through the tracking of their evolution over time. As for tests, various techniques differing in terms of equipment, time required, costs, and dynamic input can be adopted, and the data interpretation differs depending on the test typology and the relevant excitation level. Furthermore, the use of data also depends on the structural typology, being the parameters affected by the contribution of non-structural members, in the case of buildings. Concerning monitoring, issues relevant to automated operational modal analysis, optimal sensor placement, effects of environmental conditions, and wireless technology arise.

This Special Issue aims to become a collection of high-quality articles addressing theoretical issues and practical experiences in the field of dynamic testing, structural health monitoring and dynamic characterization of existing civil constructions. Topics of interest for publication include, but are not limited to:

  • Progress in dynamic identification techniques, automated operational modal analysis, and sensing technologies
  • Model updating, surrogate models, use of digital twins for SHM, and optimal sensor placement
  • Data from monitored full-scale, scaled structures or structural components, with emphasis on effects of environmental conditions and excitation levels (non-linear response)
  • Identification of real structural systems (buildings, bridges, cultural heritage) and modelling
  • Interpretation of data from monitoring and decision making
  • Vibration based strategy for the assessment of the structural health and damage detection
  • The use of data from tests for design purposes (e.g., model calibration, seismic assessment, vibration control)

Prof. Dr. Fabrizio Gara
Dr. Sandro Carbonari
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cultural heritage monitoring
  • damage detection
  • dynamic tests
  • experimental and operational modal analysis
  • model updating
  • optimal sensor placement
  • SHM-based decision making
  • structural health monitoring
  • system identification

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 4005 KiB  
Article
A Hybrid Method for Structural Modal Parameter Identification Based on IEMD/ARMA: A Numerical Study and Experimental Model Validation
by Chun Fu and Shao-Fei Jiang
Appl. Sci. 2022, 12(17), 8573; https://0-doi-org.brum.beds.ac.uk/10.3390/app12178573 - 27 Aug 2022
Cited by 3 | Viewed by 1011
Abstract
This article presents a hybrid method of structural modal parameter identification, based on improved empirical mode decomposition (EMD) and autoregressive and moving average (ARMA). Special attention is given to some implementation issues, such as the modal mixing, false modes, the judgment of the [...] Read more.
This article presents a hybrid method of structural modal parameter identification, based on improved empirical mode decomposition (EMD) and autoregressive and moving average (ARMA). Special attention is given to some implementation issues, such as the modal mixing, false modes, the judgment of the real intrinsic mode function (IMF) of classical EMD, and the difficulty of fixing the order of ARMA. To resolve the existing defects of EMD, an improved EMD (IEMD) that combines frequency band filtering and cluster analysis is proposed in this paper, where frequency band filtering divides the signal into several narrowband signals before the EMD process, and cluster analysis is used to determine the real IMFs. Euclidean distance is used to cluster the decomposition results, with no need to adjust any indexes or thresholds, and only by means of using the nearest distance to efficiently determine the real IMF. Moreover, IEMD is used as a pre-processing tool for ARMA, to resolve the difficulty of fixing its order. The capabilities of the proposed method were compared and assessed using a numerical simulation and an experimental model. The numerical simulation and experimental results showed that the improved method could resolve the modal mixing and false modal problems in the classical EMD process and could automatically identified the real IMFs, while the proposed IEMD was combined with ARMA to successfully identify the frequency and mode shape of the structure. Additionally, since each IMF is a single component signal, it is easy to determine the order of the ARMA model. Full article
(This article belongs to the Special Issue Dynamic Characterization, Testing and Monitoring of Bridges and Buildings)
►▼ Show Figures

Figure 1

25 pages, 12335 KiB  
Article
A Good Practice for the Proof Testing of Cable-Stayed Bridges
by Raoul Davide Innocenzi, Vanni Nicoletti, Davide Arezzo, Sandro Carbonari, Fabrizio Gara and Luigino Dezi
Appl. Sci. 2022, 12(7), 3547; https://0-doi-org.brum.beds.ac.uk/10.3390/app12073547 - 31 Mar 2022
Cited by 19 | Viewed by 2613
Abstract
This paper presents the results and interpretations of static and dynamic tests that were executed on a newly built cable-stayed steel-concrete composite bridge during the final proof testing. A brief description of the structure, the testing methodology, and the used instrumentation are presented. [...] Read more.
This paper presents the results and interpretations of static and dynamic tests that were executed on a newly built cable-stayed steel-concrete composite bridge during the final proof testing. A brief description of the structure, the testing methodology, and the used instrumentation are presented. Then, the test results are widely discussed and interpreted in order to evaluate the bridge performance during the proof test and also to understand the usefulness of each performed test in a proof test framework. All the collected experimental data are also compared to the numerical ones that were obtained through a refined finite element model, in order to check the behavior of the structure. The outcomes of the present work can offer references for the proof testing and monitoring of cable-stayed bridges. Full article
(This article belongs to the Special Issue Dynamic Characterization, Testing and Monitoring of Bridges and Buildings)
►▼ Show Figures

Figure 1

22 pages, 1348 KiB  
Article
A Statistical Approach for Modeling Individual Vertical Walking Forces
by Fabrizio Pancaldi, Elisa Bassoli, Massimo Milani and Loris Vincenzi
Appl. Sci. 2021, 11(21), 10207; https://0-doi-org.brum.beds.ac.uk/10.3390/app112110207 - 31 Oct 2021
Cited by 4 | Viewed by 1228
Abstract
This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to [...] Read more.
This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to vary at each step. Walking parameters are statistically calibrated with respect to the results of experimental tests performed with a force plate system. Results showed that the walking parameters change during walking and are correlated with each other. The force model proposed in this paper is a step-by-step model based on the description of the multivariate distribution of the walking features through a Gaussian Mixture model. The performance of the proposed model is compared to that of a simplified load model and of two force models proposed in the literature in a numerical case study. Results demonstrate the importance of an accurate modeling of both the single step force and the variability of the individual walking force. Full article
(This article belongs to the Special Issue Dynamic Characterization, Testing and Monitoring of Bridges and Buildings)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop